Creating gh-pages documentation for ArmNN

Signed-off-by: Jim Flynn <jim.flynn@arm.com>

1 files changed, 0 insertions, 59 deletions

diff --git a/tests/OnnxMobileNet-Armnn/OnnxMobileNet-Armnn.cpp b/tests/OnnxMobileNet-Armnn/OnnxMobileNet-Armnn.cpp
deleted file mode 100644
index 8786feacf9..0000000000
--- a/tests/OnnxMobileNet-Armnn/OnnxMobileNet-Armnn.cpp
+++ /dev/null
@@ -1,59 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-#include "../InferenceTest.hpp"
-#include "../ImagePreprocessor.hpp"
-#include "armnnOnnxParser/IOnnxParser.hpp"
-
-int main(int argc, char* argv[])
-{
-    int retVal = EXIT_FAILURE;
-    try
-    {
-        // Coverity fix: The following code may throw an exception of type std::length_error.
-        std::vector<ImageSet> imageSet =
-        {
-            {"Dog.jpg", 208},
-            {"Cat.jpg", 281},
-            {"shark.jpg", 2},
-        };
-
-        armnn::TensorShape inputTensorShape({ 1, 3, 224, 224 });
-
-        using DataType = float;
-        using DatabaseType = ImagePreprocessor<float>;
-        using ParserType = armnnOnnxParser::IOnnxParser;
-        using ModelType = InferenceModel<ParserType, DataType>;
-
-        // Coverity fix: ClassifierInferenceTestMain() may throw uncaught exceptions.
-        retVal = armnn::test::ClassifierInferenceTestMain<DatabaseType, ParserType>(
-                     argc, argv,
-                     "mobilenetv2-1.0.onnx", // model name
-                     true,                           // model is binary
-                     "data", "mobilenetv20_output_flatten0_reshape0", // input and output tensor names
-                     { 0, 1, 2 },                    // test images to test with as above
-                     [&imageSet](const char* dataDir, const ModelType&) {
-                         // This creates create a 1, 3, 224, 224 normalized input with mean and stddev to pass to Armnn
-                         return DatabaseType(
-                             dataDir,
-                             224,
-                             224,
-                             imageSet,
-                             255.0,                           // scale
-                             {{0.485f, 0.456f, 0.406f}},      // mean
-                             {{0.229f, 0.224f, 0.225f}},      // stddev
-                             DatabaseType::DataFormat::NCHW); // format
-                     },
-                     &inputTensorShape);
-    }
-    catch (const std::exception& e)
-    {
-        // Coverity fix: BOOST_LOG_TRIVIAL (typically used to report errors) may throw an
-        // exception of type std::length_error.
-        // Using stderr instead in this context as there is no point in nesting try-catch blocks here.
-        std::cerr << "WARNING: OnnxMobileNet-Armnn: An error has occurred when running "
-                     "the classifier inference tests: " << e.what() << std::endl;
-    }
-    return retVal;
-}